Tempus AI

Tempus AI

Posted via Workday

Clinical Terminologist

Posted Sep 3, 2026

Role at a glance

Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
2 Locations, United States
Work arrangement
On-site
Employment
Full-time
Experience
3+ years working with standard medical terminologies (e.g., ICD-CM-9/10, SNOMED CT, RxNorm, LOINC, CPT). Working knowledge of UMLS and familiarity with NCIm. Experience developing and maintaining clinical ontologic models. Experience working with real world data from various sources (e.g., EHRs, lab systems, claims, and abstraction or curation). Experience working with ELT tools to maintain high volume, high velocity data through-put pipelines. Familiarity with SQL, Python, and Semantic Web Technologies (RDF, OWL, SPARQL) Awareness of healthcare information standards, such as HL7 and FHIR for data exchange and interoperability. Nice-to-haves: Clinical background (PA, NP, RN, etc.). Experience with real world data analysis in Python or sql. Participation in professional organizations (e.g., OHDSI, AMIA). Awareness of OMOP Common Data Model

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Role Summary

AI-generated

The Clinical Terminologist operationalizes and quality-controls the adoption of standard clinical terminologies in Tempus data pipelines. The role maintains terminology services and modeled ontology solutions, and supports the standardization and quality assurance of clinical concepts from multiple sources.

What You'll Do

  • Collaborate with cross-functional teams to manage and update terminology services.
  • Maintain and extend modeled ontology solutions used throughout the company.
  • Standardize clinical concepts from curated data, EHR integrations, and lab systems.
  • Manage adjudication and quality-control pipelines for new clinical concepts and domains.
  • Monitor and support quality assurance and process improvement initiatives.
  • Monitor production-process performance and recommend areas for improvement.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

3+ years working with standard medical terminologies (e.g., ICD-CM-9/10, SNOMED CT, RxNorm, LOINC, CPT); working knowledge of UMLS and familiarity with NCIm; experience developing and maintaining clinical ontologic models and working with real world data from EHRs, lab systems, claims, and abstraction or curation; experience with ELT tools for high-volume, high-velocity data pipelines; familiarity with SQL, Python, Semantic Web Technologies (RDF, OWL, SPARQL), and healthcare information standards such as HL7 and FHIR.

Preferred

  • Clinical background (PA, NP, RN, etc.).
  • Experience with real world data analysis in Python or sql.
  • Participation in professional organizations (e.g., OHDSI, AMIA).
  • Awareness of OMOP Common Data Model

Original job description

Content provided by the employer

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We now have more healthcare data than ever before, but providers often do not have the systems or expertise to make sense of all of this valuable data. At Tempus, we are building the infrastructure to modernize and enhance cancer treatment. We are on a mission to connect an entire ecosystem to redefine how data is used to improve patient outcomes. The RWD Clinical Informatics and Terminology team is seeking a highly-motivated and detail oriented Clinical Terminologist who enjoys working with large and complex datasets to operationalize and QC the adoption of standard clinical terminologies into Tempus data pipelines.

Responsibilities:

  • Collaborate with cross-functional teams to manage and update terminology services made available across the company.
  • Maintain and extend modeled ontology solutions used throughout the company.
  • Standardize clinical concepts from a variety of sources, including Tempus curated data, EHR integrations, and lab systems.
  • Manage the adjudication of, and quality control pipelines for, new clinical concepts and domains.
  • Proactively monitor and support quality assurance and process improvement initiatives.
  • Monitor performance of production processes and recommend areas for improvement.

Qualifications:

  • 3+ years working with standard medical terminologies (e.g., ICD-CM-9/10, SNOMED CT, RxNorm, LOINC, CPT).
  • Working knowledge of UMLS and familiarity with NCIm.
  • Experience developing and maintaining clinical ontologic models.
  • Experience working with real world data from various sources (e.g., EHRs, lab systems, claims, and abstraction or curation).
  • Experience working with ELT tools to maintain high volume, high velocity data through-put pipelines.
  • Familiarity with SQL, Python, and Semantic Web Technologies (RDF, OWL, SPARQL)
  • Awareness of healthcare information standards, such as HL7 and FHIR for data exchange and interoperability.

Nice-to-haves:

  • Clinical background (PA, NP, RN, etc.).
  • Experience with real world data analysis in Python or sql.
  • Participation in professional organizations (e.g., OHDSI, AMIA).
  • Awareness of OMOP Common Data Model

Pay Range: $67,000 - $95,000 USD


The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Tempus AI

About the company

Tempus AI

Large Enterprise

Tempus AI is a cutting-edge technology company specializing in artificial intelligence solutions for healthcare. By harnessing advanced machine learning algorithms, Tempus AI aims to enhance patient outcomes through data-driven insights and personalized treatment plans. The company collaborates with medical professionals and researchers to bridge the gap between clinical data and actionable intelligence, thereby transforming the way healthcare is delivered and understood. With a commitment to innovation and excellence, Tempus AI is at the forefront of revolutionizing healthcare through technology.